Optimal Convolutional Networks for Staging and Detecting of Diabetic Retinopathy
Diabetic retinopathy (DR) is the main ocular complication of diabetes. Asymptomatic for a long time, it is subject to annual screening using dilated fundus or retinal photography to look for early signs. Fundus photography and optical coherence tomography (OCT) are used by ophthalmologists to assess...
Saved in:
| Main Authors: | Minyar Sassi Hidri, Adel Hidri, Suleiman Ali Alsaif, Muteeb Alahmari, Eman AlShehri |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-03-01
|
| Series: | Information |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2078-2489/16/3/221 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
WideConvNet: A Novel Wide Convolutional Neural Network Applied to ERP-Based Classification of Alcoholics
by: Abdul Baseer Buriro, et al.
Published: (2025-01-01) -
Robust multiclass classification of crop leaf diseases using hybrid deep learning and Grad-CAM interpretability
by: Sankar Murugesan, et al.
Published: (2025-08-01) -
Opinion Mining and Analysis Using Hybrid Deep Neural Networks
by: Adel Hidri, et al.
Published: (2025-04-01) -
DBA-ViNet: an effective deep learning framework for fruit disease detection and classification using explainable AI
by: Saravanan Srinivasan, et al.
Published: (2025-07-01) -
GCBAM-UNet: Sun Glare Segmentation Using Convolutional Block Attention Module
by: Nabila Zrira, et al.
Published: (2024-12-01)